TreeWAS – [Z96.8] Presence of other specified functional implants

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.925	0.075	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.827	0.173	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.826	0.174	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.823	0.177	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.754	0.246	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.747	0.253	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.732	0.268	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.701	0.298	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.701	0.299	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.696	0.304	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.682	0.318	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.659	0.341	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.654	0.346	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.651	0.349	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.360	0.640
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.596	0.404	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.594	0.406	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.556	0.444	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.547	0.453	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.519	0.481	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.507	0.493	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.498	0.502	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.478	0.521	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.476	0.524	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.468	0.532	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.439	0.561	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.421	0.579	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.420	0.580	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.413	0.587	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.403	0.597	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.368	0.632	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.361	0.639	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.344	0.656	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.342	0.658	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.331	0.669	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.320	0.680	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.314	0.686	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.295	0.705	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.283	0.717	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.269	0.731	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.265	0.735	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.254	0.746	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.249	0.751	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.238	0.762	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.236	0.764	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.223	0.777	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.208	0.792	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.202	0.798	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.201	0.799	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.201	0.799	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.196	0.804	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.194	0.805	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.193	0.807	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.192	0.808	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.183	0.817	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.176	0.824	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.176	0.824	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.157	0.843	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.149	0.851	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.145	0.855	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.133	0.867	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.131	0.868	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.104	0.896	0.001
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.104	0.896	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.095	0.905	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.094	0.906	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.081	0.919	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.075	0.925	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.925	0.074
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.073	0.927	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.065	0.934	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.061	0.938	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.054	0.946	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.052	0.948	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.048	0.951	0.001
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.045	0.955	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.043	0.957	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.040	0.960	0.000
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	0.961	0.039
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.037	0.963	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.036	0.964	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.036	0.964	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.035	0.965	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.029	0.971	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.028	0.972	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.027	0.973	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.026	0.974	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.025	0.975	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.024	0.976	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.021	0.979	0.000
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	0.979	0.021
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.019	0.981	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.014	0.986	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.013	0.987	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.013	0.987	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.012	0.988	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.988	0.011
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.009	0.990	0.001
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.009	0.991	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.009	0.991	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.008	0.992	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.008	0.992	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	0.992	0.008
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.008	0.992	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.007	0.993	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.006	0.993	0.001
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.006	0.993	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	0.994	0.006
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.006	0.994	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.005	0.995	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.004	0.995	0.001
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.004	0.995	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	0.995	0.005
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	0.995	0.005
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.004	0.996	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs7005606 lBF = `0.0301049` Chr`8` : `32,401,501`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.000	0.997	0.003
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.997	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.003	0.997	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.003	0.997	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.003	0.997	0.000
rs2439302 lBF = `0.0218333` Chr`8` : `32,432,369`	0.000	0.997	0.003
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.003	0.997	0.000
rs10108684 lBF = `0.0286393` Chr`8` : `123,973,068`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs4735692 lBF = `-0.00154777` Chr`8` : `76,615,663`	0.000	0.997	0.003
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.002	0.998	0.000
rs656319 lBF = `2.6904` Chr`8` : `9,814,411`	0.000	0.998	0.002
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs2922763 lBF = `-0.0185582` Chr`8` : `76,573,711`	0.002	0.998	0.000
rs2945232 lBF = `3.08305` Chr`8` : `8,098,038`	0.002	0.998	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.002	0.998	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs10503256 lBF = `-0.0780116` Chr`8` : `4,214,179`	0.002	0.998	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.002	0.998	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.002	0.998	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	0.998	0.002
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	0.998	0.002
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	0.998	0.002
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.000	0.998	0.002
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.002	0.998	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	0.998	0.002
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.998	0.002
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.002	0.998	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.002	0.998	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	0.998	0.002
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.000	0.998	0.002
rs12546962 lBF = `0.487337` Chr`8` : `9,198,185`	0.001	0.999	0.000
rs2608053 lBF = `2.60427` Chr`8` : `129,075,832`	0.000	0.999	0.001
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	0.999	0.001
rs643955 lBF = `3.05683` Chr`8` : `9,891,254`	0.000	0.999	0.001
rs12681792 lBF = `-0.0722975` Chr`8` : `62,054,463`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs36068923 lBF = `1.50278` Chr`8` : `111,485,761`	0.000	0.999	0.001
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.001	0.999	0.000
rs4642619 lBF = `1.51359` Chr`8` : `111,487,468`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.001	0.999	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.001	0.999	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	0.999	0.001
rs1387221 lBF = `-0.0694636` Chr`8` : `59,601,557`	0.001	0.999	0.000
rs374810 lBF = `6.8979` Chr`8` : `109,096,029`	0.000	0.999	0.001
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.001	0.999	0.000
rs2514843 lBF = `6.52694` Chr`8` : `109,063,434`	0.000	0.999	0.001
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.001
rs1045529 lBF = `1.37424` Chr`8` : `8,890,098`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.999	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	0.999	0.001
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	0.999	0.001
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
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rs10448044 lBF = `-0.110054` Chr`8` : `80,103,432`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.000	1.000	0.000
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs6985109 lBF = `5.33563` Chr`8` : `10,761,585`	0.000	1.000	0.000
rs2953805 lBF = `1.1167` Chr`8` : `8,914,757`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs3105169 lBF = `-0.0153825` Chr`8` : `100,495,639`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.000	1.000	0.000
rs9969524 lBF = `-0.0972992` Chr`8` : `88,746,846`	0.000	1.000	0.000
rs677330 lBF = `8.55621` Chr`8` : `109,177,572`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	1.000	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	1.000	0.000
rs12676965 lBF = `-0.0503531` Chr`8` : `37,681,426`	0.000	1.000	0.000
rs10109414 lBF = `-0.0599891` Chr`8` : `23,751,151`	0.000	1.000	0.000
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.000	1.000	0.000
rs3758086 lBF = `-0.0657234` Chr`8` : `23,714,992`	0.000	1.000	0.000
rs383592 lBF = `-0.0854935` Chr`8` : `90,804,328`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs4733724 lBF = `4.55679` Chr`8` : `130,723,728`	0.000	1.000	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.000	1.000	0.000
rs16902328 lBF = `0.0227453` Chr`8` : `128,713,873`	0.000	1.000	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.000	1.000	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	1.000	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.000	1.000	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	1.000	0.000
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	1.000	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	1.000	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	1.000	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	1.000	0.000
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	1.000	0.000
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.000	1.000	0.000
rs2066940 lBF = `-0.101765` Chr`8` : `21,190,268`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.000	1.000	0.000
rs6470764 lBF = `4.32028` Chr`8` : `130,725,665`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	1.000	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs36116061 lBF = `0.0224256` Chr`8` : `89,373,327`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs7011507 lBF = `-0.0303419` Chr`8` : `49,129,242`	0.000	1.000	0.000
rs11774212 lBF = `-0.0467484` Chr`8` : `145,686,505`	0.000	1.000	0.000
rs17786744 lBF = `-0.0575992` Chr`8` : `23,777,006`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7910

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2600

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0591

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9991

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9985

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9963

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9948

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9920

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9874

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9830

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9823

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9659

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9658

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9602

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9353

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9148

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8924

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8811

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8712

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8711

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8700

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8627

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8518

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8489

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8383

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8283

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8273

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8265

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8106

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8080

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7877

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7873

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7617

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7591

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7279

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7247

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6911

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6666

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6564

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6338

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6306

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6260

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6039

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5952

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5802

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5799

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4763

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4709

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4683

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4562

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4420

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4419

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3755

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3698

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3584

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3453

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3418

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3183

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2702

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2617

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2422

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2320

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1969

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1829

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1670

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1410

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1286

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1277

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1200

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1173

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1126

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0992

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0956

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0894

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0772

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0733

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0732

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0714

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0684

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0651

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0646

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0610

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0560

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0559

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0552

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0540

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0502

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)